Niels C. Adams

5.0k total citations · 1 hit paper
16 papers, 2.8k citations indexed

About

Niels C. Adams is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Developmental Neuroscience. According to data from OpenAlex, Niels C. Adams has authored 16 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 7 papers in Cellular and Molecular Neuroscience and 2 papers in Developmental Neuroscience. Recurrent topics in Niels C. Adams's work include Neuroscience and Neuropharmacology Research (4 papers), Biomedical Text Mining and Ontologies (2 papers) and Neurobiology and Insect Physiology Research (2 papers). Niels C. Adams is often cited by papers focused on Neuroscience and Neuropharmacology Research (4 papers), Biomedical Text Mining and Ontologies (2 papers) and Neurobiology and Insect Physiology Research (2 papers). Niels C. Adams collaborates with scholars based in United States, United Kingdom and France. Niels C. Adams's co-authors include Margaret Karow, Ayuko Sato, Akiko Iwasaki, Jennifer M. Lund, Richard A. Flavell, Lena Alexopoulou, George D. Yancopoulos, David M. Valenzuela, Nicholas W. Gale and Melissa G. Dominguez and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Neuron.

In The Last Decade

Niels C. Adams

16 papers receiving 2.8k citations

Hit Papers

Recognition of single-stranded RNA viruses by Toll-like r... 2004 2026 2011 2018 2004 400 800 1.2k

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Niels C. Adams United States 14 1.3k 1.2k 465 412 208 16 2.8k
Rod T. Bronson United States 22 835 0.7× 1.2k 1.0× 456 1.0× 228 0.6× 314 1.5× 39 3.2k
Hiromi Takahashi‐Iwanaga Japan 28 1.1k 0.8× 879 0.7× 172 0.4× 229 0.6× 221 1.1× 80 2.8k
Manabu Nakayama Japan 37 1.1k 0.9× 2.5k 2.1× 254 0.5× 471 1.1× 530 2.5× 100 4.2k
Hsi‐Hsien Lin Taiwan 26 823 0.6× 1.5k 1.3× 200 0.4× 560 1.4× 204 1.0× 54 2.6k
David M. Alvarado United States 27 342 0.3× 997 0.8× 240 0.5× 317 0.8× 422 2.0× 55 2.4k
Ritsuko Koga Japan 20 677 0.5× 978 0.8× 315 0.7× 188 0.5× 90 0.4× 30 1.9k
K. B. Tan United States 22 872 0.7× 1.6k 1.4× 352 0.8× 267 0.6× 238 1.1× 54 2.9k
Michal Schwartz Israel 31 519 0.4× 1.4k 1.2× 394 0.8× 625 1.5× 290 1.4× 92 3.3k
Robert M. Hoek Netherlands 28 2.1k 1.6× 723 0.6× 306 0.7× 387 0.9× 139 0.7× 43 3.7k
Brigitte Devaux United States 15 1.4k 1.1× 845 0.7× 311 0.7× 421 1.0× 259 1.2× 32 2.6k

Countries citing papers authored by Niels C. Adams

Since Specialization
Citations

This map shows the geographic impact of Niels C. Adams's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Niels C. Adams with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Niels C. Adams more than expected).

Fields of papers citing papers by Niels C. Adams

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Niels C. Adams. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Niels C. Adams. The network helps show where Niels C. Adams may publish in the future.

Co-authorship network of co-authors of Niels C. Adams

This figure shows the co-authorship network connecting the top 25 collaborators of Niels C. Adams. A scholar is included among the top collaborators of Niels C. Adams based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Niels C. Adams. Niels C. Adams is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

16 of 16 papers shown
1.
Tuck, Elizabeth, Jeanne Estabel, Anika Oellrich, et al.. (2015). A gene expression resource generated by genome-wide lacZ profiling in the mouse. Disease Models & Mechanisms. 8(11). 1467–78. 7 indexed citations
2.
Nijnik, Anastasia, Simon Clare, Christine Hale, et al.. (2011). The critical role of histone H2A-deubiquitinase Mysm1 in hematopoiesis and lymphocyte differentiation. Blood. 119(6). 1370–1379. 84 indexed citations
3.
Karp, Natasha A., Lauren Baker, Anna-Karin Gerdin, et al.. (2010). Optimising experimental design for high-throughput phenotyping in mice: a case study. Mammalian Genome. 21(9-10). 467–476. 8 indexed citations
4.
Blake, Andrew, Simon Greenaway, Amanda R. Pickard, et al.. (2009). MouseBook: an integrated portal of mouse resources. Nucleic Acids Research. 38(suppl_1). D593–D599. 14 indexed citations
5.
Morgan, Hugh W., Tim Beck, Andrew Blake, et al.. (2009). EuroPhenome: a repository for high-throughput mouse phenotyping data. Nucleic Acids Research. 38(suppl_1). D577–D585. 51 indexed citations
6.
Torres, Richard, Susan D. Croll, Joel Reinhardt, et al.. (2007). Mice genetically deficient in neuromedin U receptor 2, but not neuromedin U receptor 1, have impaired nociceptive responses. Pain. 130(3). 267–278. 37 indexed citations
7.
Poueymirou, William, Wojtek Auerbach, David Frendewey, et al.. (2007). Poueymirou, W.T. et al. F0 generation mice fully derived from gene-targeted embryonic stem cells allowing immediate phenotypic analyses. Nat. Biotechnol. 25, 91-99. 15 indexed citations
8.
Amici, Stephanie A., William A. Dunn, Andrew Murphy, et al.. (2006). Peripheral Myelin Protein 22 Is in Complex with α6β4 Integrin, and Its Absence Alters the Schwann Cell Basal Lamina. Journal of Neuroscience. 26(4). 1179–1189. 58 indexed citations
9.
Poueymirou, William, Wojtek Auerbach, David Frendewey, et al.. (2006). F0 generation mice fully derived from gene-targeted embryonic stem cells allowing immediate phenotypic analyses. Nature Biotechnology. 25(1). 91–99. 143 indexed citations
10.
Gale, Nicholas W., Melissa G. Dominguez, Irene Noguera, et al.. (2004). Haploinsufficiency of delta-like 4 ligand results in embryonic lethality due to major defects in arterial and vascular development. Proceedings of the National Academy of Sciences. 101(45). 15949–15954. 466 indexed citations
11.
Lund, Jennifer M., Lena Alexopoulou, Ayuko Sato, et al.. (2004). Recognition of single-stranded RNA viruses by Toll-like receptor 7. Proceedings of the National Academy of Sciences. 101(15). 5598–5603. 1446 indexed citations breakdown →
12.
Ibáñez-Tallon, Inés, Julie M. Miwa, Hailong Wang, et al.. (2002). Novel Modulation of Neuronal Nicotinic Acetylcholine Receptors by Association with the Endogenous Prototoxin lynx1. Neuron. 33(6). 893–903. 163 indexed citations
13.
Punta, Karina Del, Adam C. Puché, Niels C. Adams, Iván Rodríguez, & Peter Mombaerts. (2002). A Divergent Pattern of Sensory Axonal Projections Is Rendered Convergent by Second-Order Neurons in the Accessory Olfactory Bulb. Neuron. 35(6). 1057–1066. 125 indexed citations
14.
Adams, Niels C., Toshifumi Tomoda, Margaret A. Cooper, Gunnar P.H. Dietz, & Mary E. Hatten. (2002). Mice that lack astrotactin have slowed neuronal migration. Development. 129(4). 965–972. 128 indexed citations
15.
Adams, Niels C., Dora A. Lozsádi, & R. W. Guillery. (1997). Complexities in the Thalamocortical and Corticothalamic Pathways. European Journal of Neuroscience. 9(2). 204–209. 46 indexed citations
16.
Adams, Niels C. & Gary E. Baker. (1995). Cells of the perireticular nucleus project to the developing neocortex of the rat. The Journal of Comparative Neurology. 359(4). 613–626. 16 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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